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Conquering Big Data with High Performance Computing

Overview of attention for book
Cover of 'Conquering Big Data with High Performance Computing'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 An Introduction to Big Data, High Performance Computing, High-Throughput Computing, and Hadoop
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    Chapter 2 Using High Performance Computing for Conquering Big Data
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    Chapter 3 Data Movement in Data-Intensive High Performance Computing
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    Chapter 4 Using Managed High Performance Computing Systems for High-Throughput Computing
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    Chapter 5 Accelerating Big Data Processing on Modern HPC Clusters
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    Chapter 6 dispel4py: Agility and Scalability for Data-Intensive Methods Using HPC
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    Chapter 7 Performance Analysis Tool for HPC and Big Data Applications on Scientific Clusters
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    Chapter 8 Big Data Behind Big Data
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    Chapter 9 Empowering R with High Performance Computing Resources for Big Data Analytics
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    Chapter 10 Big Data Techniques as a Solution to Theory Problems
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    Chapter 11 High-Frequency Financial Statistics Through High-Performance Computing
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    Chapter 12 Large-Scale Multi-Modal Data Exploration with Human in the Loop
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    Chapter 13 Using High Performance Computing for Detecting Duplicate, Similar and Related Images in a Large Data Collection
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    Chapter 14 Big Data Processing in the eDiscovery Domain
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    Chapter 15 Databases and High Performance Computing
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    Chapter 16 Conquering Big Data Through the Usage of the Wrangler Supercomputer
Attention for Chapter 4: Using Managed High Performance Computing Systems for High-Throughput Computing
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Citations

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Chapter title
Using Managed High Performance Computing Systems for High-Throughput Computing
Chapter number 4
Book title
Conquering Big Data with High Performance Computing
Published by
Springer International Publishing, September 2016
DOI 10.1007/978-3-319-33742-5_4
Book ISBNs
978-3-31-933740-1, 978-3-31-933742-5
Authors

Lucas A. Wilson

Editors

Ritu Arora

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 50%
Lecturer > Senior Lecturer 1 25%
Researcher 1 25%
Readers by discipline Count As %
Computer Science 3 75%
Unknown 1 25%

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